Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
BACKGROUND: Mild cognitive impairment (MCI), a precursor to Alzheimer's disease (AD), requires precise early diagnosis. Single-omics approaches often miss disease complexity, motivating integrative and interpretable solutions. NEW METHOD: We present the Attention-based Multimodal Graph Fusion Network (A-MGFN), which integrates clinical, genomic, epigenomic, and transcriptomic data via biologically...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, memory impairment, and impaired daily functioning. As its pathogenesis remains incompletely understood, integrated multi-omics analysis has become crucial for identifying key disease molecules, pathological mechanisms, and therapeutic targets. This study analyzed AD-related transcriptomic and p...
BACKGROUND: Late-life depression (LLD) features recurrent episodes and frequently co-exists with cognitive impairment, which predicts worse outcomes a...
Human cognition and behavior rely on the integration of large-scale neural networks that connect the cerebral cortex and subcortical structures. Emerg...
BACKGROUND: Postoperative delirium is associated with increased morbidity, mortality, future cognitive decline, or dementia. Understanding the neural ...
Artificial intelligence (AI) already influences how older adults are identified for services, supported between provider visits, and referred for care...
This article introduces prosocial artificial intelligence (AI) as a transformative framework for addressing oral health disparities among people with ...
BACKGROUND: Cognitive impairment in older adults poses a growing public health challenge, yet accessible screening tools remain limited. We aimed to d...
Label-free molecular imaging that enables the construction of a molecular atlas of biological tissues is vital for understanding complex physiological...
Cognitive impairment arising from ischemic stroke, Alzheimer's disease, and Parkinson's disease presents distinct structural and network-level alterat...
With the increasing Alzheimer's disease (AD) prevalence, morbidity, and mortality, its early diagnosis is particularly important. The multi-modal data...
Patients tend to lose the ability to smile during the course of dementia. However, such impairments have rarely been reported, likely due to challenge...
PURPOSE OF REVIEW: To synthesize recent evidence on neurodevelopmental disorders (NDDs) among children and adolescents in low- and middle-income count...
Autophagy preserves neuronal integrity by clearing damaged proteins and organelles, but its efficiency declines with aging and neurodegeneration. Depl...
OBJECTIVE: Alzheimer's disease (AD) is a prevalent neurodegenerative disorder primarily characterized by progressive cognitive impairment and synaptic...
Postoperative delirium (POD) following cardiac surgery is a severe complication. There is evidence of a link between neuroinflammation and neurodegene...
Olfactory impairment is an early symptom of Alzheimer's disease (AD). However, currently used olfactory task-based functional magnetic resonance imagi...
BACKGROUND: Venous thromboembolism (VTE) and cancer exhibit a bidirectional correlation. The probability of detecting occult cancer in unprovoked VTE ...
Accurate subcellular segmentation is crucial for understanding cellular processes, but traditional methods struggle with noise and complex structures....
OBJECTIVE: Alzheimer's disease (AD) is strongly associated with aging, yet the interactions remain unclear. This study modeled replicative senescence ...